The Brookings report argues that while modern economies are fundamentally regional in nature, effective governance requires states to align their authority and resources with empowered local cross-sector networks. Current state economic development systems are often fragmented and ill-equipped to manage structural shifts like AI or the energy transition. To modernize, policymakers must adopt a structured 'state-regional' model where states define strategic clusters and allocate capital, while regions coordinate execution using deep local knowledge. This approach has proven successful in catalyzing billions in private investment by ensuring state resources are deployed strategically across multiple sectors to achieve measurable economic growth.
The GUARD Financial Data Act Reflects a Misguided Pro-Regulatory Consensus
English Summary
The article argues that the proposed GUARD Financial Data Act is misguided because its over-regulatory approach undervalues data's utility, particularly in fighting fraud and developing AI services. Key provisions, such as data minimization and the right to deletion, could severely impede anti-fraud measures and innovative credit risk assessments that rely on comprehensive data sets. Furthermore, the Act fails to address the core issue of law enforcement's warrantless access to financial data, and its screen scraping rules create security vulnerabilities. Policymakers should therefore abandon broad federal over-regulation and instead focus on targeting specific, tangible harms caused by bad actors, while reforming law enforcement's data access powers.
中文摘要
本文論點指出，擬議的《GUARD金融資料法案》存在誤導性，因為其過度監管的思維會低估資料的實用價值，尤其是在打擊詐騙和發展人工智慧服務方面。法案中的關鍵規定，例如資料最小化和刪除權，可能會嚴重阻礙依賴全面資料集進行的反詐騙措施和創新信用風險評估。此外，該法案未能解決執法部門無需令狀存取金融資料的核心問題，且其螢幕抓取（screen scraping）規定也製造了安全漏洞。因此，政策制定者應放棄廣泛的聯邦過度監管，轉而專注於針對不良行為者造成的特定、具體危害，同時改革執法部門的資料存取權限。
Related Entries
-
1.
-
2.
The cancellation of Formula 1 races in Bahrain and Saudi Arabia demonstrates how geopolitical conflict risk directly threatens major international economic events. The core finding is that high-profile global gatherings are highly vulnerable to modern long-range strike capabilities, as evidenced by Iran's operational threat against Gulf infrastructure. This vulnerability signals a broader regional instability that undermines the Gulf states’ efforts to diversify their economies through tourism and foreign investment. Consequently, this risk allows actors like Iran to exert coercive pressure on US policy by manipulating perceptions of safety and predictability across critical economic sectors.
-
3.
Global tech governance is rapidly maturing, with nations implementing stringent regulations across AI, data privacy, and model risk management (e.g., India's mandated 'kill switches' and Singapore’s GenAI guidelines). Industrial policy remains a key focus, evidenced by South Korea's semiconductor special act and China's comprehensive plans for green energy infrastructure and data centers. These coordinated state efforts signal a trend toward highly regulated, nationalistic technological development, requiring policymakers to navigate complex regulatory fragmentation while securing critical supply chains and maintaining economic resilience.
-
4.
Despite deep strategic competition and lack of mutual trust, US-China dialogue remains critical because both powers share a profound anxiety regarding AI's potential to destabilize national security and lead to unintended conflict. The analysis suggests that sustained engagement—particularly through Track II dialogues—is necessary to identify shared vulnerabilities, such as the use of AI in bio or cyber warfare by non-state actors. For policy, high-level talks must move beyond mere rhetoric, requiring meticulously aligned agendas to achieve concrete progress on global risks. Ultimately, dialogue is framed not as a path to trust, but as an essential mechanism driven by mutual interest for broader global stability.
-
5.
The brief argues that AI is unlikely to create entirely new forms of terrorism but will instead reinforce existing trends in decentralized violence, propaganda, and information warfare. The primary threat lies not in autonomous weaponry, but in AI's capacity to generate highly personalized, scalable, and multilingual disinformation (e.g., deepfakes), significantly lowering the barrier for radicalization and recruitment. While these technologies empower extremists, they simultaneously enhance state counterterrorism capabilities. Therefore, democratic societies must urgently develop robust institutional safeguards, regulatory oversight, and public-private coordination mechanisms to manage the inherent risks while maintaining civil liberties.